Azure Realtime is ahead on success rate, stalled calls, interruption and response time, and GPT-Live 1 + GPT-6 Sol (low thinking) on reliability, agent responses, data accuracy and cost.
Last updated Methodology by Dileep Chagam
Pick Azure Realtime for calls that pass every check (0.4 points higher), fewer stalled calls (8.1 points lower), handling interruptions (0.08 higher) and fast replies (0.36s sooner). Pick GPT-Live 1 + GPT-6 Sol (low thinking) for reliability across repeated calls (4.9 points higher), getting the agent's replies right (1.2 points higher), saving the caller's data correctly (3.0 points higher) and lower cost ($0.024 cheaper).
Scenarios that passed on all three runs.
GPT-Live 1 + Sol low, 4.9 points higher
Calls that passed every check.
Azure Realtime, 0.4 points higher
Calls where the agent's replies reached the expected outcome.
GPT-Live 1 + Sol low, 1.2 points higher
Calls where everything the agent saved matched exactly.
GPT-Live 1 + Sol low, 3.0 points higher
Calls where the agent went silent for 10 seconds or more.
Azure Realtime, 8.1 points lower
How well it handled being talked over, 0 to 5.
Azure Realtime, 0.08 higher
Median time to start replying after the caller finishes.
Azure Realtime, 0.36s sooner
One minute of call at the vendor's published rates.
GPT-Live 1 + Sol low, $0.024 cheaper
The small figure is the place among ranked models. The cascade is not ranked.
Azure Realtime 1.66s, GPT-Live 1 + Sol low 2.02s at the median.
GPT-Live 1 + GPT-6 Sol (low thinking) is more reliable, by 4.9 points. Azure Realtime passed 58 of 82 scenarios on all three runs, and GPT-Live 1 + GPT-6 Sol (low thinking) passed 62. A scenario only counts when every run of it passed.
For a phone agent, GPT-Live 1 + GPT-6 Sol (low thinking), since it gets more scenarios right on every run. Azure Realtime is ahead on success rate, stalled calls, interruption and response time, and GPT-Live 1 + GPT-6 Sol (low thinking) on reliability, agent responses, data accuracy and cost.
GPT-Live 1 + GPT-6 Sol (low thinking), by 3.0 points. Azure Realtime saved everything exactly right on 86.1% of the calls that save data, and GPT-Live 1 + GPT-6 Sol (low thinking) on 89.0%. On Appointments, 94.2% against 100.0%. On Medicare, 65.2% against 60.6%. A call counts only when nothing is missing, wrong, extra or saved twice.
Yes. Azure Realtime starts replying 0.36s sooner at the median. Azure Realtime takes 1.66s at the median and 2.22s at p90; GPT-Live 1 + GPT-6 Sol (low thinking) takes 2.02s and 2.42s. Both are measured on the call audio, from the caller finishing to the agent starting to reply.
Azure Realtime, by 0.08 on a 0 to 5 scale. Azure Realtime scores 4.96 and GPT-Live 1 + GPT-6 Sol (low thinking) 4.89 for how well the agent handled being talked over.
Azure Realtime, by 8.1 points. The agent went silent for 10 seconds or more on 4.1% of Azure Realtime calls and 12.2% of GPT-Live 1 + GPT-6 Sol (low thinking) calls.
GPT-Live 1 + GPT-6 Sol (low thinking) is $0.024 cheaper a minute. Azure Realtime costs $0.080 a minute of call and GPT-Live 1 + GPT-6 Sol (low thinking) $0.055, at each vendor's published rates.
Cekura ran both as the whole agent in the same open-source Pipecat pipeline, with the same prompt, tools and connection. A simulated caller worked through all 82 scenarios on live calls, three times each, 2,952 calls across the benchmark. A call passes only when the agent said the right things and saved the right data.
